Scales the feasible space logarithmically to (0, 1). The entire
feasible space must be strictly positive.
UnitReverseLogScale
Scales the feasible space "reverse" logarithmically to (0, 1). The
result is that values close to the top of the feasible space are spread
out more than points near the bottom. The entire feasible space must be
strictly positive.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-25 UTC."],[[["This webpage provides reference documentation for the `StudySpec.Types.ParameterSpec.Types.ScaleType` enum within the Google Cloud AI Platform v1 API for .NET."],["The latest version documented is 3.22.0, with a comprehensive list of previous versions extending down to 1.0.0."],["The `ScaleType` enum defines the types of scaling that can be applied to a parameter, including `UnitLinearScale`, `UnitLogScale`, `UnitReverseLogScale`, and `Unspecified`."],["Each enumerated type is thoroughly described, explaining how it effects the scaling of a parameter."],["All of the scaling options are part of the namespace `Google.Cloud.AIPlatform.V1` and within the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
